Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/10361
Title: Drawing Upon Computational Experiences to Navigate Ontologies
Authors: Tang, Xiaoyu
Lira, Matthew
Keywords: Learning Sciences
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Tang, X. & Lira, M. (2023). Drawing upon computational experiences to navigate ontologies. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 926-929). International Society of the Learning Sciences.
Abstract: STEM students experience challenges when reasoning about complex systems that combine multiple ontologies. Computational environments, however, support students because these environments distinguish between aggregate patterns and individual interactions. This investigation explores students learning about a complex system that combines two ontologies: chemical and electrical potentials in biological cells. We conducted a training-study that involved pre and posttests and a computational environment (NetLogo) to visualize the system. To gain insight into how students learned from the environment, we assessed students’ drawings. We found that computational experiences inspired changes to students’ drawing style and prompted them to draw new physical entities. By incorporating these new entities, students demonstrated one step toward their learning to navigate multiple ontologies in STEM education.
Description: Short Paper
URI: https://doi.org/10.22318/icls2023.605594
https://repository.isls.org//handle/1/10361
Appears in Collections:ISLS Annual Meeting 2023

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